Death Receptors DR6 and TROY Regulate Brain Vascular Development
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The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology
Cell, Vol. 104, 487±501, February 23, 2001, Copyright 2001 by Cell Press The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology Richard M. Locksley,*²³k Nigel Killeen,²k The receptors and ligands in this superfamily have and Michael J. Lenardo§k unique structural attributes that couple them directly to *Department of Medicine signaling pathways for cell proliferation, survival, and ² Department of Microbiology and Immunology differentiation. Thus, they have assumed prominent ³ Howard Hughes Medical Institute roles in the generation of tissues and transient microen- University of California, San Francisco vironments. Most TNF/TNFR SFPs are expressed in the San Francisco, California 94143 immune system, where their rapid and potent signaling § Laboratory of Immunology capabilities are crucial in coordinating the proliferation National Institute of Allergy and Infectious Diseases and protective functions of pathogen-reactive cells. National Institutes of Health Here, we review the organization of the TNF/TNFR SF Bethesda, Maryland 20892 and how these proteins have been adapted for pro- cesses as seemingly disparate as host defense and or- ganogenesis. In interpreting this large and highly active Introduction area of research, we have focused on common themes that unite the actions of these genes in different tissues. Three decades ago, lymphotoxin (LT) and tumor necro- We also discuss the evolutionary success of this super- sis factor (TNF) were identified as products of lympho- familyÐsuccess that we infer from its expansion across cytes and macrophages that caused the lysis of certain the mammalian genome and from its many indispens- types of cells, especially tumor cells (Granger et al., able roles in mammalian biology. -
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BRIEF COMMUNICATION www.jasn.org Renal Fanconi Syndrome and Hypophosphatemic Rickets in the Absence of Xenotropic and Polytropic Retroviral Receptor in the Nephron Camille Ansermet,* Matthias B. Moor,* Gabriel Centeno,* Muriel Auberson,* † † ‡ Dorothy Zhang Hu, Roland Baron, Svetlana Nikolaeva,* Barbara Haenzi,* | Natalya Katanaeva,* Ivan Gautschi,* Vladimir Katanaev,*§ Samuel Rotman, Robert Koesters,¶ †† Laurent Schild,* Sylvain Pradervand,** Olivier Bonny,* and Dmitri Firsov* BRIEF COMMUNICATION *Department of Pharmacology and Toxicology and **Genomic Technologies Facility, University of Lausanne, Lausanne, Switzerland; †Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts; ‡Institute of Evolutionary Physiology and Biochemistry, St. Petersburg, Russia; §School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia; |Services of Pathology and ††Nephrology, Department of Medicine, University Hospital of Lausanne, Lausanne, Switzerland; and ¶Université Pierre et Marie Curie, Paris, France ABSTRACT Tight control of extracellular and intracellular inorganic phosphate (Pi) levels is crit- leaves.4 Most recently, Legati et al. have ical to most biochemical and physiologic processes. Urinary Pi is freely filtered at the shown an association between genetic kidney glomerulus and is reabsorbed in the renal tubule by the action of the apical polymorphisms in Xpr1 and primary fa- sodium-dependent phosphate transporters, NaPi-IIa/NaPi-IIc/Pit2. However, the milial brain calcification disorder.5 How- molecular identity of the protein(s) participating in the basolateral Pi efflux remains ever, the role of XPR1 in the maintenance unknown. Evidence has suggested that xenotropic and polytropic retroviral recep- of Pi homeostasis remains unknown. Here, tor 1 (XPR1) might be involved in this process. Here, we show that conditional in- we addressed this issue in mice deficient for activation of Xpr1 in the renal tubule in mice resulted in impaired renal Pi Xpr1 in the nephron. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
Altered Stress-Induced Regulation of Genes in Monocytes in Adults with a History of Childhood Adversity
Neuropsychopharmacology (2016) 41, 2530–2540 © 2016 American College of Neuropsychopharmacology. All rights reserved 0893-133X/16 www.neuropsychopharmacology.org Altered Stress-Induced Regulation of Genes in Monocytes in Adults with a History of Childhood Adversity Marion Schwaiger1, Marianna Grinberg2, Dirk Moser1, Johannes CS Zang1, Markus Heinrichs3,4, Jan G Hengstler5, Jörg Rahnenführer2, Steve Cole6 and Robert Kumsta*,1 1 2 Department of Genetic Psychology, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany; Department of Statistics, TU Dortmund University, Dortmund, Germany; 3Department of Psychology, Laboratory for Biological and Personality Psychology, University of Freiburg, Freiburg, Germany; 4Freiburg Brain Imaging Center, University Medical Center, University of Freiburg, Freiburg, Germany; 5Leibniz Research Centre for 6 Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Dortmund, Germany; David Geffen School of Medicine, University of California, Los Angeles, CA, USA Exposure to serious or traumatic events early in life can lead to persistent alterations in physiological stress response systems, including enhanced cross talk between the neuroendocrine and immune system. These programming effects may be mechanistically involved in mediating the effects of adverse childhood experience on disease risk in adulthood. We investigated hormonal and genome-wide mRNA = expression responses in monocytes to acute stress exposure, in a sample of healthy adults (n 30) with a history of early childhood = adversity, and a control group (n 30) without trauma experience. The early adversity group showed altered hypothalamus-pituitary- adrenal axis responses to stress, evidenced by lower ACTH and cortisol responses. Analyses of gene expression patterns showed that stress-responsive transcripts were enriched for genes involved in cytokine activity, cytokine–cytokine receptor interaction, chemokine activity, and G-protein coupled receptor binding. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Genome-Wide Linkage and Admixture Mapping of Type 2 Diabetes In
ORIGINAL ARTICLE Genome-Wide Linkage and Admixture Mapping of Type 2 Diabetes in African American Families From the American Diabetes Association GENNID (Genetics of NIDDM) Study Cohort Steven C. Elbein,1,2 Swapan K. Das,1,2 D. Michael Hallman,3 Craig L. Hanis,3 and Sandra J. Hasstedt4 OBJECTIVE—We used a single nucleotide polymorphism (SNP) map in a large cohort of 580 African American families to identify regions linked to type 2 diabetes, age of type 2 diabetes ype 2 diabetes is marked by a clear genetic diagnosis, and BMI. propensity, a high concordance in identical twins, tendencies for both diabetes and age of RESEARCH DESIGN AND METHODS—After removing outli- onset to be familial (1), and marked differences ers and problematic samples, we conducted linkage analysis T in prevalence among ethnic groups (2). Despite consider- using 5,914 SNPs in 1,344 individuals from 530 families. Linkage analysis was conducted using variance components for type 2 able evidence for a genetic predisposition, unraveling the diabetes, age of type 2 diabetes diagnosis, and BMI and nonpara- genetic etiology has been daunting, with few confirmed metric linkage analyses. Ordered subset analyses were con- genes identified from genome-wide linkage scans. Recent ducted ranking on age of type 2 diabetes diagnosis, BMI, waist successes with genome-wide association scans (3) have circumference, waist-to-hip ratio, and amount of European ad- greatly increased the number of confirmed genetic loci, mixture. Admixture mapping was conducted using 4,486 markers but these successes have been limited primarily to Cauca- not in linkage disequilibrium. -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
Effect of Tnfα Stimulation on Expression of Kidney Risk
www.nature.com/scientificreports OPEN Efect of TNFα stimulation on expression of kidney risk infammatory proteins in human umbilical vein endothelial cells cultured in hyperglycemia Zaipul I. Md Dom1,2, Caterina Pipino1,2,3, Bozena Krolewski1,2, Kristina O’Neil1, Eiichiro Satake1,2 & Andrzej S. Krolewski1,2,4* We recently identifed a kidney risk infammatory signature (KRIS), comprising 6 TNF receptors (including TNFR1 and TNFR2) and 11 infammatory proteins. Elevated levels of these proteins in circulation were strongly associated with risk of the development of end-stage kidney disease (ESKD) during 10-year follow-up. It has been hypothesized that elevated levels of these proteins in circulation might refect (be markers of) systemic exposure to TNFα. In this in vitro study, we examined intracellular and extracellular levels of these proteins in human umbilical vein endothelial cells (HUVECs) exposed to TNFα in the presence of hyperglycemia. KRIS proteins as well as 1300 other proteins were measured using the SOMAscan proteomics platform. Four KRIS proteins (including TNFR1) were down-regulated and only 1 protein (IL18R1) was up-regulated in the extracellular fraction of TNFα-stimulated HUVECs. In the intracellular fraction, one KRIS protein was down- regulated (CCL14) and 1 protein was up-regulated (IL18R1). The levels of other KRIS proteins were not afected by exposure to TNFα. HUVECs exposed to a hyperglycemic and infammatory environment also showed signifcant up-regulation of a distinct set of 53 proteins (mainly in extracellular fraction). In our previous study, circulating levels of these proteins were not associated with progression to ESKD in diabetes. Tumor necrosis factor alpha (TNFα) is a potent pro-infammatory cytokine that exerts its pleiotropic efects on a wide variety of cell types and plays a vital role in the pathogenesis of infammatory diseases 1,2. -
A Novel JAK1 Mutant Breast Implant-Associated Anaplastic Large Cell Lymphoma Patient-Derived Xenograft Fostering Pre- Clinical Discoveries
Cancers 2019 S1 of S18 Supplementary Materials: A Novel JAK1 Mutant Breast Implant-Associated Anaplastic Large Cell Lymphoma Patient-Derived Xenograft Fostering Pre- Clinical Discoveries Danilo Fiore, Luca Vincenzo Cappelli, Paul Zumbo, Jude M. Phillip, Zhaoqi Liu, Shuhua Cheng, Liron Yoffe, Paola Ghione, Federica Di Maggio, Ahmet Dogan, Inna Khodos, Elisa de Stanchina, Joseph Casano, Clarisse Kayembe, Wayne Tam, Doron Betel, Robin Foa’, Leandro Cerchietti, Raul Rabadan, Steven Horwitz, David M. Weinstock and Giorgio Inghirami A B C Figure S1. (A) Histology micrografts on IL89 PDTX show overall similarity between T1 T3 and T7 passages (upper panels). Immunohistochemical stains with the indicated antibodies (anti-CD3, anti- CD25 and anti-CD8 [x20]) (lower panels). (B) Flow cytometry panel comprehensive of the most represented surface T-cell lymphoma markers, including: CD2, CD3, CD4, CD5, CD8, CD16, CD25, CD30, CD56, TCRab, TCRgd. IL89 PDTX passage T3 is here depicted for illustration purposes. (C) Analysis of the TCR gamma specific rearrangement clonality in IL89 diagnostic sample and correspondent PDTX after 1 and 5 passages (T1 and T5). A WT Primary p.G1097D IL89 T1 p.G1097D IL89 T5 p.G1097D IL89 cell line B Figure S2. (A) Sanger sequencing confirms the presence of the JAK1 p.G1097D mutation in IL89 PDTX samples and in the cell line, but the mutation is undetectable in the primary due to the low sensitivity of the technique. (B) Manual backtracking of mutations in the primary tumor using deep sequencing data allowed for the identification of several hits at a very low VAF compared to the PDTX-T5. A B IL89 CTRL 30 CTRL Ruxoli?nib S 20 M Ruxoli?nib A R G 10 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 1 1 1 1 1 WEEKS AFTER ENGRAFTMENT Figure S3. -
Diverse Gene Expression and DNA Methylation Profiles Correlate with Differential Adaptation of Breast Cancer Cells to the Antiestrogens Tamoxifen and Fulvestrant
Research Article Diverse Gene Expression and DNA Methylation Profiles Correlate with Differential Adaptation of Breast Cancer Cells to the Antiestrogens Tamoxifen and Fulvestrant Meiyun Fan,1 Pearlly S. Yan,2 Cori Hartman-Frey,1 Lei Chen,1 Henry Paik,1 Samuel L. Oyer,1 Jonathan D. Salisbury,1 Alfred S.L. Cheng,2 Lang Li,3 Phillip H. Abbosh,1 Tim H-M. Huang,2 and Kenneth P. Nephew1,4,5 1Medical Sciences, Indiana University School of Medicine, Bloomington, Indiana; 2Division of Human Cancer Genetics, Comprehensive Cancer Center, Ohio State University, Columbus, Ohio; 3Division of Biostatistics, Department of Medicine and 4Department of Cellular and Integrative Physiology, Indiana University School of Medicine; and 5Indiana University Cancer Center, Indianapolis, Indiana Abstract Introduction The development of targeted therapies for antiestrogen- The steroid hormone estrogen is strongly implicated in the resistant breast cancer requires a detailed understanding development and progression of breast cancer (1). The primary of its molecular characteristics. To further elucidate the mediator of estrogen action in breast cancer cells is estrogen molecular events underlying acquired resistance to the receptor a (ERa), a ligand-activated transcription factor (1). antiestrogens tamoxifen and fulvestrant, we established Consequently, the leading drugs used for endocrine therapy of drug-resistant sublines from a single colony of hormone- breast cancer all block ERa activity, including antiestrogens (i.e., dependent breast cancer MCF7 cells. These model systems tamoxifen and fulvestrant) and aromatase inhibitors (2). Despite allowed us to examine the cellular and molecular changes the efficacy and favorable safety profile of these agents, the use of induced by antiestrogens in the context of a uniform clonal endocrine therapy is limited by the onset of drug resistance, in background. -
KRAS Mutations Are Negatively Correlated with Immunity in Colon Cancer
www.aging-us.com AGING 2021, Vol. 13, No. 1 Research Paper KRAS mutations are negatively correlated with immunity in colon cancer Xiaorui Fu1,2,*, Xinyi Wang1,2,*, Jinzhong Duanmu1, Taiyuan Li1, Qunguang Jiang1 1Department of Gastrointestinal Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China 2Queen Mary College, Medical Department, Nanchang University, Nanchang, Jiangxi, People's Republic of China *Equal contribution Correspondence to: Qunguang Jiang; email: [email protected] Keywords: KRAS mutations, immunity, colon cancer, tumor-infiltrating immune cells, inflammation Received: March 27, 2020 Accepted: October 8, 2020 Published: November 26, 2020 Copyright: © 2020 Fu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The heterogeneity of colon cancer tumors suggests that therapeutics targeting specific molecules may be effective in only a few patients. It is therefore necessary to explore gene mutations in colon cancer. In this study, we obtained colon cancer samples from The Cancer Genome Atlas, and the International Cancer Genome Consortium. We evaluated the landscape of somatic mutations in colon cancer and found that KRAS mutations, particularly rs121913529, were frequent and had prognostic value. Using ESTIMATE analysis, we observed that the KRAS-mutated group had higher tumor purity, lower immune score, and lower stromal score than the wild- type group. Through single-sample Gene Set Enrichment Analysis and Gene Set Enrichment Analysis, we found that KRAS mutations negatively correlated with enrichment levels of tumor infiltrating lymphocytes, inflammation, and cytolytic activities. -
Human Colon Cancer Primer Library
Human Colon Cancer Primer Library Catalog No: HCCR-1 Supplier: RealTimePrimers Lot No: XXXXX Supplied as: solid Stability: store at -20°C Description Contains 88 primer sets directed against cytokine and chemokine receptor genes and 8 housekeeping gene primer sets. Provided in a 96-well microplate (20 ul - 10 uM). Perform up to 100 PCR arrays (based on 20 ul assay volume per reaction). Just add cDNA template and SYBR green master mix. Gene List: • CCR1 chemokine (C-C motif) receptor 1 • IL11RA interleukin 11 receptor, alpha • CCR2 chemokine (C-C motif) receptor 2 • IL11RB interleukin 11 receptor, beta • CCR3 chemokine (C-C motif) receptor 3 • IL12RB1 interleukin 12 receptor, beta 1 • CCR4 chemokine (C-C motif) receptor 4 • IL12RB2 interleukin 12 receptor, beta 2 • CCR5 chemokine (C-C motif) receptor 5 • IL13RA1 interleukin 13 receptor, alpha 1 • CCR6 chemokine (C-C motif) receptor 6 • IL13RA2 interleukin 13 receptor, alpha 2 • CCR7 chemokine (C-C motif) receptor 7 • IL15RA interleukin 15 receptor, alpha • CCR8 chemokine (C-C motif) receptor 8 • IL15RB interleukin 15 receptor, beta • CCR9 chemokine (C-C motif) receptor 9 • IL17RA interleukin 17 receptor A • CCR10 chemokine (C-C motif) receptor 10 • IL17RB interleukin 17 receptor B • CX3CR1 chemokine (C-X3-C motif) receptor 1 • IL17RC interleukin 17 receptor C • CXCR1 chemokine (C-X-C motif) receptor 1 • IL17RD interleukin 17 receptor D • CXCR2 chemokine (C-X-C motif) receptor 2 • IL17RE interleukin 17 receptor E • CXCR3 chemokine (C-X-C motif) receptor 3 • IL18R1 interleukin 18 receptor